LSST Applications: /j/snowflake/release/lsstsw/stack/lsst-scipipe-10.0.0/Linux64/scarlet_lite/gd9a9a58781+fcb1d3bbc8/python/lsst/scarlet/lite/models/parametric.py File Reference

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LSST Data Management Base Package

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Classes
class	lsst.scarlet.lite.models.parametric.CartesianFrame

class	lsst.scarlet.lite.models.parametric.EllipseFrame

class	lsst.scarlet.lite.models.parametric.ParametricComponent

class	lsst.scarlet.lite.models.parametric.EllipticalParametricComponent

Namespaces
namespace	lsst

namespace	lsst.scarlet

namespace	lsst.scarlet.lite

namespace	lsst.scarlet.lite.models

namespace	lsst.scarlet.lite.models.parametric

Functions
np.ndarray	lsst.scarlet.lite.models.parametric.gaussian2d (np.ndarray params, EllipseFrame ellipse)

np.ndarray	lsst.scarlet.lite.models.parametric.grad_gaussian2 (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, EllipseFrame ellipse)

np.ndarray	lsst.scarlet.lite.models.parametric.circular_gaussian (Sequence[int] center, CartesianFrame frame, float sigma)

np.ndarray	lsst.scarlet.lite.models.parametric.grad_circular_gaussian (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, CartesianFrame frame, float sigma)

	lsst.scarlet.lite.models.parametric.integrated_gaussian (np.ndarray params, CartesianFrame frame)

np.ndarray	lsst.scarlet.lite.models.parametric.grad_integrated_gaussian (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, CartesianFrame frame)

np.ndarray	lsst.scarlet.lite.models.parametric.bounded_prox (np.ndarray params, np.ndarray proxmin, np.ndarray proxmax)

np.ndarray	lsst.scarlet.lite.models.parametric.sersic (np.ndarray params, EllipseFrame ellipse)

np.ndarray	lsst.scarlet.lite.models.parametric.grad_sersic (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, EllipseFrame ellipse)

Variables
int	lsst.scarlet.lite.models.parametric.MIN_RADIUS = 1e-20

	lsst.scarlet.lite.models.parametric.SQRT_PI_2 = np.sqrt(np.pi / 2)

	lsst.scarlet.lite.models.parametric.SERSIC_B1 = gamma.ppf(0.5, 2)